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Topics

Development

Featured in Development

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.

All in development

Architecture & Design

Featured in Architecture & Design

Five Ways To Use AI Coding Agents to Improve Your Software Architecture

Modern architectures often use legacy services for specific tasks, but these services may lack accurate documentation and using them can be risky if you don't understand them well. AI coding agents can help close that knowledge gap.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

From Consumers to Builders: Turning 200 of our Team into Agent Creators in 2 Weeks

Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combining no-code and code-based platforms, sidestepping complex RAG setups, and aligning security and legal teams to accelerate internal agent adoption across R&D.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

From Staff Platform Engineer to a16z Founder: What I Wish I'd Known

Gonzalo Maldonado explains how technical leaders can translate engineering skills into startup success using their "VC Abstraction Layer Knowledge" (VALK). They share hard-won lessons on finding product-market fit, structuring pitches like technical docs, avoiding co-founder drama, and evaluating internal platforms as commercial ventures in a post-ZIRP environment.

All in culture-methods

DevOps

Featured in DevOps

Context Is the New Code

Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD, package managers, and security scanning - enables engineering leaders to reliably scale AI coding agents, maintain control over non-deterministic outputs, and build long-term organizational knowledge.

All in devops

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Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
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Your coding agent moves fast. Who checks whether it's making the codebase better?
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Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
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QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
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QCon AI Boston

Learn from the decisions and trade-offs behind AI systems already running in production.
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InfoQ Homepage Interviews Cédric Beust discusses Designing for Testability

Cédric Beust discusses Designing for Testability

18:25

Bio

Cédric Beust is the co-founder of the TestNG framework and is a senior software engineer at Google. He holds a PhD in computer science. His interests include aspect-oriented programming, testing, tools, back-end and GUI and everything related to software engineering in general. Cedric maintains a weblog at www.beust.com/weblog.

About the conference

Apr 28, 2008

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